Provided by: bbmap_39.01+dfsg-2_all 
NAME
bbduk.sh - Filters, trims, or masks reads with kmer matches to an artifact/contaminant
file
SYNOPSIS
bbduk.sh in=<input file> out=<output file> ref=<contaminant files>
DESCRIPTION
Compares reads to the kmers in a reference dataset, optionally allowing an edit distance.
Splits the reads into two outputs - those that match the reference, and those that don't.
Can also trim (remove) the matching parts of the reads rather than binning the reads.
Please read bbmap/docs/guides/BBDukGuide.txt for more information.
Input may be stdin or a fasta or fastq file, compressed or uncompressed. If you pipe via
stdin/stdout, please include the file type; e.g. for gzipped fasta input, set
in=stdin.fa.gz
OPTIONS
Input parameters
in=<file>
Main input. in=stdin.fq will pipe from stdin.
in2=<file>
Input for 2nd read of pairs in a different file.
ref=<file,file>
Comma-delimited list of reference files.
In addition to filenames, you may also use the keywords: adapters, artifacts, phix,
lambda, pjet, mtst, kapa
literal=<seq,seq>
Comma-delimited list of literal reference sequences.
touppercase=f
(tuc) Change all bases upper-case.
interleaved=auto
(int) t/f overrides interleaved autodetection.
qin=auto
Input quality offset: 33 (Sanger), 64, or auto.
reads=-1
If positive, quit after processing X reads or pairs.
copyundefined=f
(cu) Process non-AGCT IUPAC reference bases by making all possible unambiguous
copies. Intended for short motifs or adapter barcodes, as time/memory use is
exponential.
samplerate=1
Set lower to only process a fraction of input reads.
samref=<file>
Optional reference fasta for processing sam files.
Output parameters
out=<file>
(outnonmatch) Write reads here that do not contain kmers matching the database.
'out=stdout.fq' will pipe to standard out.
out2=<file>
(outnonmatch2) Use this to write 2nd read of pairs to a different file.
outm=<file>
(outmatch) Write reads here that fail filters. In default kfilter mode, this means
any read with a matching kmer. In any mode, it also includes reads that fail
filters such as minlength, mingc, maxgc, entropy, etc. In other words, it includes
all reads that do not go to 'out'.
outm2=<file>
(outmatch2) Use this to write 2nd read of pairs to a different file.
outs=<file>
(outsingle) Use this to write singleton reads whose mate was trimmed shorter than
minlen.
stats=<file>
Write statistics about which contamininants were detected.
refstats=<file>
Write statistics on a per-reference-file basis.
rpkm=<file>
Write RPKM for each reference sequence (for RNA-seq).
dump=<file>
Dump kmer tables to a file, in fasta format.
duk=<file>
Write statistics in duk's format. *DEPRECATED*
nzo=t Only write statistics about ref sequences with nonzero hits.
overwrite=t
(ow) Grant permission to overwrite files.
showspeed=t
(ss) 'f' suppresses display of processing speed.
ziplevel=2
(zl) Compression level; 1 (min) through 9 (max).
fastawrap=70
Length of lines in fasta output.
qout=auto
Output quality offset: 33 (Sanger), 64, or auto.
statscolumns=3
cols) Number of columns for stats output, 3 or 5. 5 includes base counts.
rename=f
Rename reads to indicate which sequences they matched.
refnames=f
Use names of reference files rather than scaffold IDs.
trd=f Truncate read and ref names at the first whitespace.
ordered=f
Set to true to output reads in same order as input.
maxbasesout=-1
If positive, quit after writing approximately this many bases to out
(outu/outnonmatch).
maxbasesoutm=-1
If positive, quit after writing approximately this many bases to outm (outmatch).
json=f Print to screen in json format.
Histogram output parameters
bhist=<file>
Base composition histogram by position.
qhist=<file>
Quality histogram by position.
qchist=<file>
Count of bases with each quality value.
aqhist=<file>
Histogram of average read quality.
bqhist=<file>
Quality histogram designed for box plots.
lhist=<file>
Read length histogram.
phist=<file>
Polymer length histogram.
gchist=<file>
Read GC content histogram.
ihist=<file>
Insert size histogram, for paired reads in mapped sam.
gcbins=100
Number gchist bins. Set to 'auto' to use read length.
maxhistlen=6000
Set an upper bound for histogram lengths; higher uses more memory. The default is
6000 for some histograms and 80000 for others.
Histograms for mapped sam/bam files only
histbefore=t
Calculate histograms from reads before processing.
ehist=<file>
Errors-per-read histogram.
qahist=<file>
Quality accuracy histogram of error rates versus quality score.
indelhist=<file>
Indel length histogram.
mhist=<file>
Histogram of match, sub, del, and ins rates by position.
idhist=<file>
Histogram of read count versus percent identity.
idbins=100
Number idhist bins. Set to 'auto' to use read length.
varfile=<file>
Ignore substitution errors listed in this file when calculating error rates. Can
be generated with CallVariants.
vcf=<file>
Ignore substitution errors listed in this VCF file when calculating error rates.
ignorevcfindels=t
Also ignore indels listed in the VCF.
Processing parameters
k=27 Kmer length used for finding contaminants. Contaminants shorter than k will not be
found. k must be at least 1.
rcomp=t
Look for reverse-complements of kmers in addition to forward kmers.
maskmiddle=t
(mm) Treat the middle base of a kmer as a wildcard, to increase sensitivity in the
presence of errors.
minkmerhits=1
(mkh) Reads need at least this many matching kmers to be considered as matching the
reference.
minkmerfraction=0.0
(mkf) A reads needs at least this fraction of its total kmers to hit a ref, in
order to be considered a match. If this and minkmerhits are set, the greater is
used.
mincovfraction=0.0
(mcf) A reads needs at least this fraction of its total bases to be covered by ref
kmers to be considered a match. If specified, mcf overrides mkh and mkf.
hammingdistance=0
(hdist) Maximum Hamming distance for ref kmers (subs only). Memory use is
proportional to (3*K)^hdist.
qhdist=0
Hamming distance for query kmers; impacts speed, not memory.
editdistance=0
(edist) Maximum edit distance from ref kmers (subs and indels).
Memory use is proportional to (8*K)^edist.
hammingdistance2=0
(hdist2) Sets hdist for short kmers, when using mink.
qhdist2=0
Sets qhdist for short kmers, when using mink.
editdistance2=0
(edist2) Sets edist for short kmers, when using mink.
forbidn=f
(fn) Forbids matching of read kmers containing N.
By default, these will match a reference 'A' if hdist>0 or edist>0, to increase
sensitivity.
removeifeitherbad=t
(rieb) Paired reads get sent to 'outmatch' if either is match (or either is trimmed
shorter than minlen). Set to false to require both.
trimfailures=f
Instead of discarding failed reads, trim them to 1bp.
This makes the statistics a bit odd.
findbestmatch=f
(fbm) If multiple matches, associate read with sequence sharing most kmers.
Reduces speed.
skipr1=f
Don't do kmer-based operations on read 1.
skipr2=f
Don't do kmer-based operations on read 2.
ecco=f For overlapping paired reads only. Performs errorcorrection with BBMerge prior to
kmer operations.
recalibrate=f
(recal) Recalibrate quality scores. Requires calibration matrices generated by
CalcTrueQuality.
sam=<file,file>
If recalibration is desired, and matrices have not already been generated, BBDuk
will create them from the sam file.
amino=f
Run in amino acid mode. Some features have not been tested, but kmer-matching
works fine. Maximum k is 12.
Speed and Memory parameters
threads=auto
(t) Set number of threads to use; default is number of logical processors.
prealloc=f
Preallocate memory in table. Allows faster table loading and more efficient memory
usage, for a large reference.
monitor=f
Kill this process if it crashes. monitor=600,0.01 would kill after 600 seconds
under 1% usage.
minrskip=1
(mns) Force minimal skip interval when indexing reference kmers.
1 means use all, 2 means use every other kmer, etc.
maxrskip=1
(mxs) Restrict maximal skip interval when indexing reference kmers. Normally all
are used for scaffolds<100kb, but with longer scaffolds, up to maxrskip-1 are
skipped.
rskip= Set both minrskip and maxrskip to the same value.
If not set, rskip will vary based on sequence length.
qskip=1
Skip query kmers to increase speed. 1 means use all.
speed=0
Ignore this fraction of kmer space (0-15 out of 16) in both reads and reference.
Increases speed and reduces memory.
Note: Do not use more than one of 'speed', 'qskip', and 'rskip'.
Trimming/Filtering/Masking parameters
Note - if ktrim, kmask, and ksplit are unset, the default behavior is kfilter. All kmer
processing modes are mutually exclusive. Reads only get sent to 'outm' purely based on
kmer matches in kfilter mode.
ktrim=f
Trim reads to remove bases matching reference kmers.
Values:
f (don't trim),
r (trim to the right),
l (trim to the left)
kmask= Replace bases matching ref kmers with another symbol.
Allows any non-whitespace character, and processes short
kmers on both ends if mink is set. 'kmask=lc' will convert masked bases to
lowercase.
maskfullycovered=f (mfc) Only mask bases that are fully covered by kmers. ksplit=f
For single-ended reads only. Reads will be split into
pairs around the kmer.
If the kmer is at the end of the
read, it will be trimmed instead.
Singletons will go to
out, and pairs will go to outm.
Do not use ksplit with
other operations such as quality-trimming or filtering.
mink=0 Look for shorter kmers at read tips down to this length,
when k-trimming or masking.
0 means disabled. Enabling
this will disable maskmiddle.
qtrim=f Trim read ends to remove bases with quality below trimq.
Performed AFTER looking for kmers.
Values:
rl (trim both ends),
f (neither end), r (right end only), l (left end only), w (sliding window).
trimq=6
Regions with average quality BELOW this will be trimmed, if qtrim is set to
something other than f. Can be a floating-point number like 7.3.
trimclip=f
Trim soft-clipped bases from sam files.
minlength=10
(ml) Reads shorter than this after trimming will be discarded. Pairs will be
discarded if both are shorter.
mlf=0 (minlengthfraction) Reads shorter than this fraction of original length after
trimming will be discarded.
maxlength=
Reads longer than this after trimming will be discarded. Pairs will be discarded
only if both are longer.
minavgquality=0
(maq) Reads with average quality (after trimming) below this will be discarded.
maqb=0 If positive, calculate maq from this many initial bases.
minbasequality=0
(mbq) Reads with any base below this quality (after trimming) will be discarded.
maxns=-1
If non-negative, reads with more Ns than this (after trimming) will be discarded.
mcb=0 (minconsecutivebases) Discard reads without at least this many consecutive called
bases.
ottm=f (outputtrimmedtomatch) Output reads trimmed to shorter than minlength to outm
rather than discarding.
tp=0 (trimpad) Trim this much extra around matching kmers.
tbo=f (trimbyoverlap) Trim adapters based on where paired reads overlap.
strictoverlap=t
Adjust sensitivity for trimbyoverlap mode.
minoverlap=14
Require this many bases of overlap for detection.
mininsert=40
Require insert size of at least this for overlap. Should be reduced to 16 for
small RNA sequencing.
tpe=f (trimpairsevenly) When kmer right-trimming, trim both reads to the minimum length
of either.
forcetrimleft=0
(ftl) If positive, trim bases to the left of this position (exclusive, 0-based).
forcetrimright=0
(ftr) If positive, trim bases to the right of this position (exclusive, 0-based).
forcetrimright2=0
(ftr2) If positive, trim this many bases on the right end.
forcetrimmod=0
(ftm) If positive, right-trim length to be equal to zero, modulo this number.
restrictleft=0
If positive, only look for kmer matches in the leftmost X bases.
restrictright=0
If positive, only look for kmer matches in the rightmost X bases.
mingc=0
Discard reads with GC content below this.
maxgc=1
Discard reads with GC content above this.
gcpairs=t
Use average GC of paired reads. Also affects gchist.
tossjunk=f
Discard reads with invalid characters as bases.
swift=f
Trim Swift sequences: Trailing C/T/N R1, leading G/A/N R2.
Header-parsing parameters - these require Illumina headers
chastityfilter=f
(cf) Discard reads with id containing ' 1:Y:' or ' 2:Y:'.
barcodefilter=f
Remove reads with unexpected barcodes if barcodes is set,
or barcodes containing 'N' otherwise. A barcode must be the last part of the read
header.
Values:
t: Remove reads with bad barcodes.
f: Ignore barcodes.
crash: Crash upon encountering bad barcodes.
barcodes=
Comma-delimited list of barcodes or files of barcodes.
xmin=-1
If positive, discard reads with a lesser X coordinate.
ymin=-1
If positive, discard reads with a lesser Y coordinate.
xmax=-1
If positive, discard reads with a greater X coordinate.
ymax=-1
If positive, discard reads with a greater Y coordinate.
Polymer trimming
trimpolya=0
If greater than 0, trim poly-A or poly-T tails of at least this length on either
end of reads.
trimpolygleft=0
If greater than 0, trim poly-G prefixes of at least this length on the left end of
reads. Does not trim poly-C.
trimpolygright=0
If greater than 0, trim poly-G tails of at least this length on the right end of
reads. Does not trim poly-C.
trimpolyg=0
This sets both left and right at once.
filterpolyg=0
If greater than 0, remove reads with a poly-G prefix of at least this length (on
the left).
Note: there are also equivalent poly-C flags.
Polymer tracking
pratio=base,base
'pratio=G,C' will print the ratio of G to C polymers.
plen=20
Length of homopolymers to count.
Entropy/Complexity parameters
entropy=-1
Set between 0 and 1 to filter reads with entropy below that value. Higher is more
stringent.
entropywindow=50
Calculate entropy using a sliding window of this length.
entropyk=5
Calculate entropy using kmers of this length.
minbasefrequency=0
Discard reads with a minimum base frequency below this.
entropymask=f
Values:
f: Discard low-entropy sequences.
t: Mask low-entropy parts of sequences with N.
lc: Change low-entropy parts of sequences to lowercase.
entropymark=f
Mark each base with its entropy value. This is on a scale of 0-41 and is reported
as quality scores, so the output should be fastq or fasta+qual.
Cardinality estimation
cardinality=f
(loglog) Count unique kmers using the LogLog algorithm.
cardinalityout=f
(loglogout) Count unique kmers in output reads.
loglogk=31
Use this kmer length for counting.
loglogbuckets=1999
Use this many buckets for counting.
Java Parameters
-Xmx This will set Java's memory usage, overriding autodetection.
-Xmx20g will specify 20 gigs of RAM, and -Xmx200m will specify 200 megs. The max
is typically 85% of physical memory.
-eoom This flag will cause the process to exit if an out-of-memory exception occurs.
Requires Java 8u92+.
-da Disable assertions.
AUTHOR
Written by Brian Bushnell, Last modified March 21, 2019
Please contact Brian Bushnell at bbushnell@lbl.gov if you encounter any problems.
This manpage was written by Andreas Tille for the Debian distribution and can be used for
any other usage of the program.